MATLAB5.X

How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)

自动控制原理中关于阻尼（欠阻尼，过阻尼，临界阻尼）(damping of automatic control theory)

超宽带信号中高斯脉冲和冲击脉冲的产生，以及脉冲位置调制（PPM)和脉冲幅度调制(PAM)，形成一个完整的电路来完成整个过程(UWB signal in the Gaussian pulse and impulse generation, and pulse position modulation (PPM) and pulse amplitude modulation (PAM), to form a complete circuit to complete the whole process)

优化算法程序包。有lm方法， smarquart法，等等。(Optimization package. Have lm, smarquart law.)

This package contains Matlab class to serialize/decode matlab object in json format. The software uses org.json java package to convert json to java object and then translates it into Matlab object.

amer s noise level estimation implementation on MATLAB

randgen(mu,mu1,mu2,cov1,cov2,cov3) = Random generation of Gaussian Samples in d-dimensions where d = 2 mu, mu1, mu2 = (x,y) coordinates(means) that the gaussian samples are centered around cov1, cov2, cov3 are the covariance matrices and will vary changing the shape of the distribution, example: cov = sigma^2*Identity Matrix, where sigma^2 = a scalar N = the number of gaussian samples used are provided as user input, A test set of N/2 and a training set of N/2 gaussian samples is also generated Output is directed to the command window and a plot of the distributions are generated

用MATLAB实现OFDM技术的仿真 用MATLAB实现OFDM技术的仿真(ofdm)

DFT算法仿真，采用matlab环境，非常实用，欢迎下载！(DFT algorithm simulation using matlab environment, very practical, welcome to download!)

说明：  该MATLAB程序用遗传算法GA处理最短巡航路径问题（TSP）(The algorithm uses GA to deal with the shortest load （TSP）)